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Thishyaketh csris commited on
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Duplicate from togethercomputer/RedPajama-Data-1T

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Co-authored-by: Charles Srisuwananukorn <csris@users.noreply.huggingface.co>

Files changed (9) hide show
  1. .gitattributes +54 -0
  2. README.md +173 -0
  3. RedPajama-Data-1T.py +226 -0
  4. urls/arxiv.txt +100 -0
  5. urls/c4.txt +1024 -0
  6. urls/common_crawl.txt +0 -0
  7. urls/github.txt +98 -0
  8. urls/stackexchange.txt +1 -0
  9. urls/wikipedia.txt +1 -0
.gitattributes ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.arrow filter=lfs diff=lfs merge=lfs -text
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+ *.bin filter=lfs diff=lfs merge=lfs -text
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+ *.bz2 filter=lfs diff=lfs merge=lfs -text
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+ *.ckpt filter=lfs diff=lfs merge=lfs -text
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+ *.ftz filter=lfs diff=lfs merge=lfs -text
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+ *.gz filter=lfs diff=lfs merge=lfs -text
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+ *.h5 filter=lfs diff=lfs merge=lfs -text
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+ *.joblib filter=lfs diff=lfs merge=lfs -text
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+ *.lfs.* filter=lfs diff=lfs merge=lfs -text
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+ *.lz4 filter=lfs diff=lfs merge=lfs -text
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+ *.mlmodel filter=lfs diff=lfs merge=lfs -text
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+ *.model filter=lfs diff=lfs merge=lfs -text
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+ *.msgpack filter=lfs diff=lfs merge=lfs -text
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+ *.npy filter=lfs diff=lfs merge=lfs -text
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+ *.npz filter=lfs diff=lfs merge=lfs -text
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+ *.onnx filter=lfs diff=lfs merge=lfs -text
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+ *.ot filter=lfs diff=lfs merge=lfs -text
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+ *.parquet filter=lfs diff=lfs merge=lfs -text
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+ *.pb filter=lfs diff=lfs merge=lfs -text
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+ *.pickle filter=lfs diff=lfs merge=lfs -text
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+ *.pkl filter=lfs diff=lfs merge=lfs -text
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+ *.pt filter=lfs diff=lfs merge=lfs -text
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+ *.pth filter=lfs diff=lfs merge=lfs -text
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+ *.rar filter=lfs diff=lfs merge=lfs -text
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+ *.safetensors filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ *.tflite filter=lfs diff=lfs merge=lfs -text
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+ *.tgz filter=lfs diff=lfs merge=lfs -text
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+ *.wasm filter=lfs diff=lfs merge=lfs -text
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+ *.xz filter=lfs diff=lfs merge=lfs -text
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+ *.zip filter=lfs diff=lfs merge=lfs -text
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+ *.zst filter=lfs diff=lfs merge=lfs -text
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+ *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - uncompressed
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+ *.pcm filter=lfs diff=lfs merge=lfs -text
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+ *.sam filter=lfs diff=lfs merge=lfs -text
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+ *.raw filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - compressed
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+ *.aac filter=lfs diff=lfs merge=lfs -text
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+ *.flac filter=lfs diff=lfs merge=lfs -text
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+ *.mp3 filter=lfs diff=lfs merge=lfs -text
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+ *.ogg filter=lfs diff=lfs merge=lfs -text
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+ *.wav filter=lfs diff=lfs merge=lfs -text
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+ # Image files - uncompressed
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+ *.bmp filter=lfs diff=lfs merge=lfs -text
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+ *.gif filter=lfs diff=lfs merge=lfs -text
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+ *.png filter=lfs diff=lfs merge=lfs -text
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+ *.tiff filter=lfs diff=lfs merge=lfs -text
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+ # Image files - compressed
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+ *.jpg filter=lfs diff=lfs merge=lfs -text
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+ *.jpeg filter=lfs diff=lfs merge=lfs -text
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+ *.webp filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,173 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ task_categories:
3
+ - text-generation
4
+ language:
5
+ - en
6
+ pretty_name: Red Pajama 1T
7
+ ---
8
+ ### Getting Started
9
+
10
+ The dataset consists of 2084 jsonl files.
11
+ You can download the dataset using HuggingFace:
12
+ ```python
13
+ from datasets import load_dataset
14
+ ds = load_dataset("togethercomputer/RedPajama-Data-1T")
15
+ ```
16
+
17
+ Or you can directly download the files using the following command:
18
+
19
+ ```
20
+ wget 'https://data.together.xyz/redpajama-data-1T/v1.0.0/urls.txt'
21
+ while read line; do
22
+ dload_loc=${line#https://data.together.xyz/redpajama-data-1T/v1.0.0/}
23
+ mkdir -p $(dirname $dload_loc)
24
+ wget "$line" -O "$dload_loc"
25
+ done < urls.txt
26
+ ```
27
+
28
+ After downloading the files, you can load the dataset from disk by setting the `RED_PAJAMA_DATA_DIR` environment variable to the directory containing the files:
29
+
30
+ ```python
31
+ import os
32
+ from datasets import load_dataset
33
+ os.environ["RED_PAJAMA_DATA_DIR"] = "/path/to/download"
34
+ ds = load_dataset("togethercomputer/RedPajama-Data-1T")
35
+ ```
36
+
37
+ A smaller 1B-token sample of the dataset can be found [here](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T-Sample).
38
+
39
+ A full set of scripts to recreate the dataset from scratch can be found [here](https://github.com/togethercomputer/RedPajama-Data).
40
+
41
+ ### Dataset Summary
42
+
43
+ RedPajama is a clean-room, fully open-source implementation of the LLaMa dataset.
44
+
45
+ | Dataset | Token Count |
46
+ |---------------|-------------|
47
+ | Commoncrawl | 878 Billion |
48
+ | C4 | 175 Billion |
49
+ | GitHub | 59 Billion |
50
+ | ArXiv | 28 Billion |
51
+ | Wikipedia | 24 Billion |
52
+ | StackExchange | 20 Billion |
53
+ | Total | 1.2 Trillion |
54
+
55
+ ### Languages
56
+
57
+ Primarily English, though the Wikipedia slice contains multiple languages.
58
+
59
+ ## Dataset Structure
60
+
61
+ The dataset structure is as follows:
62
+
63
+ ```json
64
+ {
65
+ "text": ...,
66
+ "meta": {"url": "...", "timestamp": "...", "source": "...", "language": "...", ...},
67
+ "red_pajama_subset": "common_crawl" | "c4" | "github" | "arxiv" | "wikipedia" | "stackexchange"
68
+ }
69
+ ```
70
+
71
+ ## Dataset Creation
72
+
73
+ This dataset was created to follow the LLaMa paper as closely as possible to try to reproduce its recipe.
74
+
75
+ ### Source Data
76
+
77
+ #### Commoncrawl
78
+
79
+ We download five dumps from Commoncrawl, and run the dumps through the official `cc_net` pipeline.
80
+ We then deduplicate on the paragraph level, and filter out low quality text using a linear classifier trained to
81
+ classify paragraphs as Wikipedia references or random Commoncrawl samples.
82
+
83
+ #### C4
84
+
85
+ C4 is downloaded from Huggingface. The only preprocessing step is to bring the data into our own format.
86
+
87
+ #### GitHub
88
+
89
+ The raw GitHub data is downloaded from Google BigQuery. We deduplicate on the file level and filter out low quality
90
+ files and only keep projects that are distributed under the MIT, BSD, or Apache license.
91
+
92
+ #### Wikipedia
93
+ We use the Wikipedia dataset available on Huggingface, which is based on the Wikipedia dump from 2023-03-20 and contains
94
+ text in 20 different languages. The dataset comes in preprocessed format, so that hyperlinks, comments and other
95
+ formatting boilerplate has been removed.
96
+
97
+ #### Gutenberg and Books3
98
+
99
+
100
+ <div class="course-tip course-tip-orange bg-gradient-to-br dark:bg-gradient-to-r before:border-orange-500 dark:before:border-orange-800 from-orange-50 dark:from-gray-900 to-white dark:to-gray-950 border border-orange-50 text-orange-700 dark:text-gray-400">
101
+ <p><b>Defunct:</b> The 'book' config is defunct and no longer accessible due to reported copyright infringement for the Book3 dataset contained in this config.</p>
102
+ </div>
103
+
104
+
105
+ #### ArXiv
106
+ ArXiv data is downloaded from Amazon S3 in the `arxiv` requester pays bucket. We only keep latex source files and
107
+ remove preambles, comments, macros and bibliographies.
108
+
109
+ #### Stackexchange
110
+ The Stack Exchange split of the dataset is download from the
111
+ [Internet Archive](https://archive.org/download/stackexchange). Here we only keep the posts from the 28 largest sites,
112
+ remove html tags, group the posts into question-answer pairs, and order answers by their score.
113
+
114
+ ### SHA256 Checksums
115
+
116
+ SHA256 checksums for the dataset files for each data source are available here:
117
+
118
+ ```
119
+ https://data.together.xyz/redpajama-data-1T/v1.0.0/sha256/arxiv_SHA256SUMS.txt
120
+ https://data.together.xyz/redpajama-data-1T/v1.0.0/sha256/c4_SHA256SUMS.txt
121
+ https://data.together.xyz/redpajama-data-1T/v1.0.0/sha256/common_crawl_SHA256SUMS.txt
122
+ https://data.together.xyz/redpajama-data-1T/v1.0.0/sha256/github_SHA256SUMS.txt
123
+ https://data.together.xyz/redpajama-data-1T/v1.0.0/sha256/stackexchange_SHA256SUMS.txt
124
+ https://data.together.xyz/redpajama-data-1T/v1.0.0/sha256/wikipedia_SHA256SUMS.txt
125
+ ```
126
+
127
+ To cite RedPajama, please use:
128
+
129
+ ```
130
+ @software{together2023redpajama,
131
+ author = {Together Computer},
132
+ title = {RedPajama: An Open Source Recipe to Reproduce LLaMA training dataset},
133
+ month = April,
134
+ year = 2023,
135
+ url = {https://github.com/togethercomputer/RedPajama-Data}
136
+ }
137
+ ```
138
+
139
+ ### License
140
+ Please refer to the licenses of the data subsets you use.
141
+
142
+ * [Common Crawl Foundation Terms of Use](https://commoncrawl.org/terms-of-use/full/)
143
+ * [C4 license](https://huggingface.co/datasets/allenai/c4#license)
144
+ * GitHub was limited to MIT, BSD, or Apache licenses only
145
+ * [ArXiv Terms of Use](https://info.arxiv.org/help/api/tou.html)
146
+ * [Wikipedia License](https://huggingface.co/datasets/wikipedia#licensing-information)
147
+ * [StackExchange license on the Internet Archive](https://archive.org/details/stackexchange)
148
+
149
+ <!--
150
+ ### Annotations
151
+ #### Annotation process
152
+ [More Information Needed]
153
+ #### Who are the annotators?
154
+ [More Information Needed]
155
+ ### Personal and Sensitive Information
156
+ [More Information Needed]
157
+ ## Considerations for Using the Data
158
+ ### Social Impact of Dataset
159
+ [More Information Needed]
160
+ ### Discussion of Biases
161
+ [More Information Needed]
162
+ ### Other Known Limitations
163
+ [More Information Needed]
164
+ ## Additional Information
165
+ ### Dataset Curators
166
+ [More Information Needed]
167
+ ### Licensing Information
168
+ [More Information Needed]
169
+ ### Citation Information
170
+ [More Information Needed]
171
+ ### Contributions
172
+ [More Information Needed]
173
+ -->
RedPajama-Data-1T.py ADDED
@@ -0,0 +1,226 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Copyright 2023 Together Computer
2
+ #
3
+ # Licensed under the Apache License, Version 2.0 (the "License");
4
+ # you may not use this file except in compliance with the License.
5
+ # You may obtain a copy of the License at
6
+ #
7
+ # http://www.apache.org/licenses/LICENSE-2.0
8
+ #
9
+ # Unless required by applicable law or agreed to in writing, software
10
+ # distributed under the License is distributed on an "AS IS" BASIS,
11
+ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12
+ # See the License for the specific language governing permissions and
13
+ # limitations under the License.
14
+
15
+ # Lint as: python3
16
+ """RedPajama: An Open-Source, Clean-Room 1.2 Trillion Token Dataset."""
17
+
18
+
19
+ import json
20
+
21
+ import datasets
22
+ from datasets.exceptions import DefunctDatasetError
23
+ import traceback
24
+ import os
25
+
26
+ logger = datasets.logging.get_logger(__name__)
27
+
28
+
29
+ _DESCRIPTION = """\
30
+ RedPajama is a clean-room, fully open-source implementation of the LLaMa dataset.
31
+ """
32
+
33
+ _URL_LISTS = {
34
+ "arxiv": "urls/arxiv.txt",
35
+ "c4": "urls/c4.txt",
36
+ "common_crawl": "urls/common_crawl.txt",
37
+ "github": "urls/github.txt",
38
+ "stackexchange": "urls/stackexchange.txt",
39
+ "wikipedia": "urls/wikipedia.txt",
40
+ }
41
+ _URL_BASE = 'https://data.together.xyz/redpajama-data-1T/v1.0.0'
42
+
43
+ _DATA_DIR = os.environ.get('RED_PAJAMA_DATA_DIR', None)
44
+
45
+ class RedPajama1TConfig(datasets.BuilderConfig):
46
+ """BuilderConfig for RedPajama sample."""
47
+
48
+ def __init__(self, *args, subsets, **kwargs):
49
+ """BuilderConfig for RedPajama.
50
+ Args:
51
+ **kwargs: keyword arguments forwarded to super.
52
+ """
53
+ super(RedPajama1TConfig, self).__init__(**kwargs)
54
+ self.subsets = subsets
55
+
56
+
57
+ class RedPajama1T(datasets.GeneratorBasedBuilder):
58
+ """RedPajama: Reproducing the LLaMA training dataset of over 1.2 trillion tokens. Version 1.0.0."""
59
+
60
+ BUILDER_CONFIGS = [
61
+ RedPajama1TConfig(
62
+ name = 'default',
63
+ subsets = list(_URL_LISTS) + ["book"],
64
+ version=datasets.Version("1.0.0", ""),
65
+ description="RedPajama1T",
66
+ ),
67
+
68
+ RedPajama1TConfig(
69
+ name = 'arxiv',
70
+ subsets = ['arxiv'],
71
+ version=datasets.Version("1.0.0", ""),
72
+ description="RedPajama1T arxiv subset",
73
+ ),
74
+
75
+ RedPajama1TConfig(
76
+ name = 'book',
77
+ subsets = ['book'],
78
+ version=datasets.Version("1.0.0", ""),
79
+ description="RedPajama1T book subset",
80
+ ),
81
+
82
+ RedPajama1TConfig(
83
+ name = 'c4',
84
+ subsets = ['c4'],
85
+ version=datasets.Version("1.0.0", ""),
86
+ description="RedPajama1T c4 subset",
87
+ ),
88
+
89
+ RedPajama1TConfig(
90
+ name = 'common_crawl',
91
+ subsets = ['common_crawl'],
92
+ version=datasets.Version("1.0.0", ""),
93
+ description="RedPajama1T common crawl subset",
94
+ ),
95
+
96
+ RedPajama1TConfig(
97
+ name = 'github',
98
+ subsets = ['github'],
99
+ version=datasets.Version("1.0.0", ""),
100
+ description="RedPajama1T github subset",
101
+ ),
102
+
103
+ RedPajama1TConfig(
104
+ name = 'stackexchange',
105
+ subsets = ['stackexchange'],
106
+ version=datasets.Version("1.0.0", ""),
107
+ description="RedPajama1T stackexchange subset",
108
+ ),
109
+
110
+ RedPajama1TConfig(
111
+ name = 'wikipedia',
112
+ subsets = ['wikipedia'],
113
+ version=datasets.Version("1.0.0", ""),
114
+ description="RedPajama1T wikipedia subset",
115
+ ),
116
+ ]
117
+
118
+ def _info(self):
119
+ return datasets.DatasetInfo(
120
+ description=_DESCRIPTION,
121
+ features=datasets.Features(
122
+ {
123
+ "text": datasets.Value("string"),
124
+ "meta": datasets.Value("string"),
125
+ "red_pajama_subset": datasets.Value("string"),
126
+ }
127
+ ),
128
+ supervised_keys=None,
129
+ )
130
+
131
+ def _split_generators(self, dl_manager):
132
+ if self.config.name == "book":
133
+ raise DefunctDatasetError(
134
+ "The 'book' config is defunct and no longer accessible due to reported copyright infringement. "
135
+ )
136
+ subsets = [subset for subset in self.config.subsets if subset != "book"]
137
+
138
+ url_lists = dl_manager.download_and_extract({
139
+ subset: _URL_LISTS[subset] for subset in subsets
140
+ })
141
+ urls = {}
142
+
143
+ for subset, url_list in url_lists.items():
144
+ with open(url_list, encoding="utf-8") as f:
145
+ urls[subset] = [line.strip() for line in f]
146
+
147
+ if _DATA_DIR is not None:
148
+ print(f'Reading data from {_DATA_DIR}')
149
+ url_prefix_slashes = len(_URL_BASE.split('/'))
150
+ downloaded_files = {
151
+ subset: [
152
+ os.path.join(_DATA_DIR, *url.split('/')[url_prefix_slashes:])
153
+ for url in url_list
154
+ ]
155
+ for subset, url_list in urls.items()
156
+ }
157
+ else:
158
+ downloaded_files = dl_manager.download(urls)
159
+
160
+ return [
161
+ datasets.SplitGenerator(
162
+ name=datasets.Split.TRAIN,
163
+ gen_kwargs = {
164
+ "files": {
165
+ subset: downloaded_files[subset]
166
+ for subset in subsets
167
+ }
168
+ }
169
+ )
170
+ ]
171
+
172
+ def _generate_examples(self, files):
173
+ """This function returns the examples in the raw (text) form."""
174
+ key = 0
175
+ for subset in files:
176
+ if subset == "common_crawl":
177
+ import zstandard as zstd
178
+
179
+ for path in files[subset]:
180
+ with zstd.open(open(path, "rb"), "rt", encoding="utf-8") as f:
181
+ for i, row in enumerate(f):
182
+ try:
183
+ data = json.loads(row)
184
+ text = data["text"]
185
+ del data["text"]
186
+ yield key, {
187
+ "text": text,
188
+ "meta": json.dumps(data),
189
+ "red_pajama_subset": subset,
190
+ }
191
+ key += 1
192
+ except Exception as e:
193
+ print(f'Subset: {subset}')
194
+ print(f'Path: {path}')
195
+ print(f'Row: {row}')
196
+ traceback.print_exc()
197
+
198
+ raise e
199
+ else:
200
+ for path in files[subset]:
201
+ with open(path, encoding="utf-8") as f:
202
+ for i, row in enumerate(f):
203
+ try:
204
+ data = json.loads(row)
205
+ if "meta" not in data:
206
+ text = data["text"]
207
+ del data["text"]
208
+ yield key, {
209
+ "text": text,
210
+ "meta": json.dumps(data),
211
+ "red_pajama_subset": subset,
212
+ }
213
+ else:
214
+ yield key, {
215
+ "text": data["text"],
216
+ "meta": data["meta"],
217
+ "red_pajama_subset": subset,
218
+ }
219
+ key += 1
220
+ except Exception as e:
221
+ print(f'Subset: {subset}')
222
+ print(f'Path: {path}')
223
+ print(f'Row: {row}')
224
+ traceback.print_exc()
225
+
226
+ raise e
urls/arxiv.txt ADDED
@@ -0,0 +1,100 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ https://data.together.xyz/redpajama-data-1T/v1.0.0/arxiv/arxiv_023827cd-7ee8-42e6-aa7b-661731f4c70f.jsonl
2
+ https://data.together.xyz/redpajama-data-1T/v1.0.0/arxiv/arxiv_024de5df-1b7f-447c-8c3a-51407d8d6732.jsonl
3
+ https://data.together.xyz/redpajama-data-1T/v1.0.0/arxiv/arxiv_03232e26-be3f-4a28-a5d2-ee1d8c0e9831.jsonl
4
+ https://data.together.xyz/redpajama-data-1T/v1.0.0/arxiv/arxiv_034e819a-cfcb-43c6-ad25-0232ad48823c.jsonl
5
+ https://data.together.xyz/redpajama-data-1T/v1.0.0/arxiv/arxiv_077ae8de-a68e-47e7-95a6-6d82f8f4eeb9.jsonl
6
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